| Title | Inversion of the PROFLAIR leaf-canopy reflectance model for retrieval of forest canopy parameters |
| |
| Author | White, H P ;
Omari, K; Staenz, K; King, D J |
| Source | 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS); 6874229, 2012., https://doi.org/10.1109/WHISPERS.2012.6874229 |
| Year | 2012 |
| Alt Series | Earth Sciences Sector, Contribution Series 20130200 |
| Publisher | Institute of Electrical and Electronics Engineers - Geoscience and Remote Sensing Society |
| Meeting | 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing; Shanghai; CN; June 4-7, 2012 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Program | Remote Sensing Science |
| Released | 2014 08 11 |
| Abstract | The PROFLAIR (PROSPECT + FLAIR) model was used to invert hyperspectral (EO-1 Hyperion) data using a look up table (LUT) approach to retrieve canopy leaf area index (LAI), leaf chlorophyll content (C a+b
) and canopy integrated chlorophyll content (LAI × C a+b ) of a forest stand impacted by mine tailings pond discharge. The LUT was populated by simulating the model in forward mode using a space of realization generated using a specific distribution
of input parameters based on a priori information obtained during a field campaign. Estimated parameters were then compared to field measurements. The results demonstrate a capacity to retrieve canopy LAI and leaf chlorophyll content across the site
at accuracies similar to that reported by other well-known radiative transfer models. |
| Summary | (Plain Language Summary, not published)
Long term exposure to heavy metal mine tailings have exhibited considerable stress on forested areas in northern Ontario. Effective tools and techniques
that use satellite imagery present a potential cost-effective method of measuring forest stress indicators. This paper proposes and evaluates the use of hyperspectral satellite imagery and a leaf canopy model for monitoring mine tailings impacts on
forests. The leaf canopy model interprets how sunlight reflects off the forest canopy as seen by satellite imagery and estimates specific surface biophysical and biochemical properties. The results identify that structural damage, not leaf chemistry,
was an indicator of forest stress at selected distances from the mine tailings. The paper also indicates that derived and measured forest canopy stress indicators are in agreement. |
| GEOSCAN ID | 293011 |
|
|